Biometric Data Combination Engine Using Synthetic Samples
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Biometric data, which includes sensitive medical information, poses significant security and privacy risks when accessed for testing and debugging biometric systems, as it reveals personal and potentially medically related information about individuals.
Innovation Solution
A method is developed to generate a synthetic biometric database that accurately reflects the characteristics and quality of a real biometric database, allowing systems to test and debug without accessing the real data, thus preserving privacy and security by using synthetic biometric samples that do not correspond to specific individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If real biometric data is accessed for testing and debugging, then system testing and debugging capability is improved, but security and privacy of biometric information deteriorates
Solution Approach 1:
The patent creates synthetic biometric databases that replicate the statistical properties, quality distributions, and characteristic patterns of real biometric data without containing actual personal information. These synthetic copies enable comprehensive system testing and debugging while eliminating security and privacy risks associated with accessing real biometric samples.
Solution Approach 2:
The patent introduces synthetic biometric data as an intermediary between the testing system and real biometric databases. This intermediary layer allows testing operations to proceed as if accessing real data, while actually using artificially generated samples that preserve statistical validity without compromising individual privacy or security.
2Object-affected harmful factors
If synthetic biometric database is generated and used, then security and privacy are improved, but data accuracy and representativeness may deteriorate
Solution Approach 1:
The patent systematically adjusts and optimizes parameters of synthetic biometric data generation, including statistical distributions, quality score ranges, characteristic patterns, and demographic representations. By carefully calibrating these parameters to match real biometric database properties, the synthetic data achieves high accuracy and representativeness while maintaining security and privacy benefits.
Solution Approach 2:
The patent employs feedback mechanisms where the synthetic biometric database is continuously evaluated against reference real biometric data to assess accuracy, diversity, and representativeness. This feedback loop allows iterative refinement of the synthetic data generation process, ensuring that the synthetic database closely mirrors the statistical and qualitative properties of real biometric data.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for combining biometric data are disclosed. In one aspect, a method includes the actions of accessing one or more synthetic biometric data samples. The actions further include identifying data that indicates characteristics of each of the one or more biometric data samples and data that indicates a quality score of each of the one or more biometric data samples. The actions further include identifying target parameters of a synthetic biometric database. The actions further include comparing the target parameters of the synthetic biometric database to the characteristics of each of the one or more biometric data samples and to the quality score of each of the one or more biometric data samples. The actions further include selecting, for the synthetic biometric database, a subset of the synthetic biometric data samples.